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International Workshop on Engineering Multi-Agent Systems

EMAS 2018: Engineering Multi-Agent Systems pp 320–339Cite as

Decision Process in Human-Agent Interaction: Extending Jason Reasoning Cycle

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11375))

Abstract

The main characteristic of an agent is acting on behalf of humans. Then, agents are employed as modeling paradigms for complex systems and their implementation. Today we are witnessing a growing increase in systems complexity, mainly when the presence of human beings and their interactions with the system introduces a dynamic variable not easily manageable during design phases. Design and implementation of this type of systems highlight the problem of making the system able to decide in autonomy. In this work we propose an implementation, based on Jason, of a cognitive architecture whose modules allow structuring the decision-making process by the internal states of the agents, thus combining aspects of self-modeling and theory of the mind.

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Notes

  1. 1.

    Details about Jason reasoning cycle are given in Sect. 4.

  2. 2.

    During the description of the reasoning cycle, we refer to Fig. 4 for the sequence of agent’s activities and Fig. 5 for the related implemented classes. In Fig. 5 both classes of the original cycle and those of the extended one (in green) are represented.

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Acknowledgment

This material is based upon work supported by the Air Force Office of Scientific Research under award number FA9550-17-1-0232.

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Authors and Affiliations

  1. Dipartimento di Ingegneria, Università degli Studi di Palermo, Palermo, Italy

    Antonio Chella, Francesco Lanza & Valeria Seidita

Authors
  1. Antonio Chella
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  2. Francesco Lanza
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  3. Valeria Seidita
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Corresponding author

Correspondence to Valeria Seidita .

Editor information

Editors and Affiliations

  1. Department of Computer Science, KU Leuven, Leuven, Belgium

    Danny Weyns

  2. Department of Computer Science, Bioengineering, Robotics and Systems Engineering, Università degli Studi di Genova, Genoa, Italy

    Viviana Mascardi

  3. Department of Computer Science and Engineering, University of Bologna, Cesena, Forli/Cesana, Italy

    Alessandro Ricci

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Chella, A., Lanza, F., Seidita, V. (2019). Decision Process in Human-Agent Interaction: Extending Jason Reasoning Cycle. In: Weyns, D., Mascardi, V., Ricci, A. (eds) Engineering Multi-Agent Systems. EMAS 2018. Lecture Notes in Computer Science(), vol 11375. Springer, Cham. https://doi.org/10.1007/978-3-030-25693-7_17

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  • DOI: https://doi.org/10.1007/978-3-030-25693-7_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-25692-0

  • Online ISBN: 978-3-030-25693-7

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